Lorenza Freddo
- Neurology top 2%
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Immunology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Norman LatovArthur P. HaysRobert K. YuMariko SaitoC. AngeliniEduardo Nobile‐OrazioMichael E. ShyP. D. Donofrio
- Topics
- Peripheral Neuropathies and Disorders (8 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)Glycosylation and Glycoproteins Research (6 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Lorenza Freddo
16 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 67
- Neurology 562
- Molecular Biology 558
- Cellular and Molecular Neuroscience 376
- Immunology 236
- Radiology, Nuclear Medicine and Imaging 228
Countries citing papers authored by Lorenza Freddo
This map shows the geographic impact of Lorenza Freddo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lorenza Freddo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenza Freddo more than expected).
Fields of papers citing papers by Lorenza Freddo
This network shows the impact of papers produced by Lorenza Freddo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lorenza Freddo. The network helps show where Lorenza Freddo may publish in the future.
Co-authorship network of co-authors of Lorenza Freddo
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenza Freddo. A scholar is included among the top collaborators of Lorenza Freddo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lorenza Freddo. Lorenza Freddo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 158 | |
| 3 | 279 | |
| 4 | 181 | |
| 5 | 8 | |
| 6 | 26 | |
| 7 | 91 | |
| 8 | 21 | |
| 9 | Lymphocyte studies in patients with neuropathy and antibodies to the myelin associated glycoprotein | 5 |
| 10 | 76 | |
| 11 | 22 | |
| 12 | 12 | |
| 13 | 142 | |
| 14 | 29 | |
| 15 | [Preliminary study on the use of acetylcarnitine in patients with mental deterioration]. | 6 |
| 16 | 78 | |
| 17 | 45 |
About Lorenza Freddo
Lorenza Freddo is a scholar working on Clinical Biochemistry, Neurology and Immunology and Allergy, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Peripheral Neuropathies and Disorders (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Glycosylation and Glycoproteins Research (6 papers). The work is most often cited by research in Neurology (562 citations), Cellular and Molecular Neuroscience (376 citations) and Clinical Biochemistry (125 citations). Lorenza Freddo has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Norman Latov, Arthur P. Hays, Robert K. Yu, Mariko Saito, C. Angelini, Eduardo Nobile‐Orazio, Michael E. Shy, P. D. Donofrio, James W. Albers and H. S. Greenberg. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and Neurology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.